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polarisR

polarisR is a shiny application for diagnosing \(2\text{-}D\) non-linear dimensionality reduction (NLDR) layouts generated using methods such as t-SNE and UMAP with different hyper-parameters. It also facilitates comparison of how the data appear in high dimensions through various tour methods, including scatter, sage, and slice. The application provides an interactive platform to explore high-dimensional datasets, diagnose NLDR layouts using the quollr package, and compare different NLDR results.

Features

• Data Loading: Load your own CSV datasets or use one of the example datasets provided.
• NLDR Methods: Choose between t-SNE and UMAP for dimensionality reduction.
• Interactive Visualization: Explore the 2D NLDR layout of your data with interactive plots.
• Dynamic Tour: Take a dynamic tour of the high-dimensional data to understand its structure.
• Diagnostics of NLDR Layout: Use the quollr package to diagnose the NLDR layout.
• NLDR Methods Comparison: Compare the results of different NLDR methods and hyperparameter settings.
• Side-by-Side Visualization: View two visualizations (NLDR layout and tour view) side-by-side with linked brushing for a direct comparison.

Installation

You can install polarisR from GitHub using the following commands in R:

# Install pak if you haven't already
# install.packages("pak")

pak::pak("Divendra2006/polarisR")

Usage

To run the polarisR shiny app, use the following command in R:

polarisR::run_nldr_viz()

You can also upload your own dataset in CSV format.

About the name

projective output layouts and reduced interactive surfaces in R

License

This project is licensed under the MIT License - see the LICENSE.md file for details.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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